{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:AVKFE5FDJ7X4A433H3BW22HYCJ","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"61193c4281476be15be4de28f69d0327162c9b24e87f623268fe733418db1910","cross_cats_sorted":["math.MG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2025-06-19T03:16:25Z","title_canon_sha256":"5e84da8cfe434d4b67f378c4e8d379bb271ec5e6eab1f743cfd8eecf92bc8f14"},"schema_version":"1.0","source":{"id":"2506.15987","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.15987","created_at":"2026-07-05T11:24:27Z"},{"alias_kind":"arxiv_version","alias_value":"2506.15987v1","created_at":"2026-07-05T11:24:27Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.15987","created_at":"2026-07-05T11:24:27Z"},{"alias_kind":"pith_short_12","alias_value":"AVKFE5FDJ7X4","created_at":"2026-07-05T11:24:27Z"},{"alias_kind":"pith_short_16","alias_value":"AVKFE5FDJ7X4A433","created_at":"2026-07-05T11:24:27Z"},{"alias_kind":"pith_short_8","alias_value":"AVKFE5FD","created_at":"2026-07-05T11:24:27Z"}],"graph_snapshots":[{"event_id":"sha256:45cbe09f0cf017b09e4306241c9b6f628c3d6ef434746fc6ebd00bb15aa0d3bc","target":"graph","created_at":"2026-07-05T11:24:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2506.15987/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The explosive growth of vector search applications demands efficient handling of combined vector similarity and attribute filtering; a challenge where current approaches force an unsatisfying choice between performance and accuracy. We introduce Filter-Centric Vector Indexing (FCVI), a novel framework that transforms this fundamental trade-off by directly encoding filter conditions into the vector space through a mathematically principled transformation $\\psi(v, f, \\alpha)$. Unlike specialized solutions, FCVI works with any existing vector index (HNSW, FAISS, ANNOY) while providing theoretical","authors_text":"Alireza Heidari, Wei Zhang","cross_cats":["math.MG"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2025-06-19T03:16:25Z","title":"Filter-Centric Vector Indexing: Geometric Transformation for Efficient Filtered Vector Search"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.15987","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:f6b6f4ba0cb3ee76e785033d7dfcefe4c1f4392b4924d25eb5c585875f9cdfa8","target":"record","created_at":"2026-07-05T11:24:27Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"61193c4281476be15be4de28f69d0327162c9b24e87f623268fe733418db1910","cross_cats_sorted":["math.MG"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.DB","submitted_at":"2025-06-19T03:16:25Z","title_canon_sha256":"5e84da8cfe434d4b67f378c4e8d379bb271ec5e6eab1f743cfd8eecf92bc8f14"},"schema_version":"1.0","source":{"id":"2506.15987","kind":"arxiv","version":1}},"canonical_sha256":"05545274a34fefc0737b3ec36d68f81275032c767b7627c3376a13f1f48fe339","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"05545274a34fefc0737b3ec36d68f81275032c767b7627c3376a13f1f48fe339","first_computed_at":"2026-07-05T11:24:27.429547Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:24:27.429547Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"s8GsWofY7gjw1+7aSunUIIVcCmJ1UpVOTH/v20xy6WDmMRf9sbt0cjYFsuXv+BKuMNcvPrhCsEPVViCqHtRNCw==","signature_status":"signed_v1","signed_at":"2026-07-05T11:24:27.429995Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.15987","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:f6b6f4ba0cb3ee76e785033d7dfcefe4c1f4392b4924d25eb5c585875f9cdfa8","sha256:45cbe09f0cf017b09e4306241c9b6f628c3d6ef434746fc6ebd00bb15aa0d3bc"],"state_sha256":"c80c04dbe7a3e7c7a8459d781e8579716f0c6326d5213ff9cefddc7eaf34cec7"}